Objective Function and Derivatives The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other ...

Noisy, discontinuous, or multimodal objective functions pose significant challenges for numerical optimization methods. These functions are often encountered in real-world problems, such as ...

In topology optimization, the optimal layout of the structure is obtained through an iterative update of the geometry. Since this update procedure utilizes the gradient of the objective function, it ...

Objective functions—mathematical formulations that define what success looks like—provide this essential clarity. While common in traditional optimization, these structured targets are often ...

This article presents grey relational analysis (GRA)-based objective function optimization in predictive torque control (PTC) for induction machine. Selection of appropriate weighting factor in the ...